Data feature augmentation system and method for low-precision neural network

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United States of America

PATENT NO 12260321
APP PUB NO 20220318605A1
SERIAL NO

17385316

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A data feature augmentation system and method for a low-precision neural network are provided. The data feature augmentation system includes a first time difference unit. The first time difference unit includes a first sample-and-hold circuit and a subtractor. The first sample-and-hold circuit is used for receiving an input signal and obtaining a first signal according to the input signal. The first signal is related to a first leakage rate of the first sample-and-hold circuit and the first signal is the signal generated by delaying the input signal by one time unit. The subtractor is used for performing subtraction on the input signal and the first signal to obtain a time difference signal. The input signal and the time difference signal are inputted to the low-precision neural network.

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  • (6) INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chang, Shih-Chieh Hsinchu, TW 215 1368
Kuo, Yi-Ching Tainan, TW 6 50
Lin, Chih-Sheng Tainan, TW 48 353
Lin, Tay-Jyi Kaohsiung, TW 27 152
Sheu, Shyh-Shyuan Zhubei, TW 51 434
Tsai, Fu-Cheng Tainan, TW 8 4

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